A model performs well on training data but poorly on validation data. What is this?
- A Underfitting
- B Overfitting
- C Data leakage
- D Class imbalance
Answer
Overfitting
Overfitting is high variance: the model has learned noise. More data, regularisation, a simpler model or early stopping all help.





